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Research on the Influence of Risk on Construction Project Performance: A Systematic Review

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  • Guiliang Su

    (Smart Construction and Innovation Center, School of Civil and Architectural Engineering, Guilin University of Technology, Guilin 541000, China)

  • Rana Khallaf

    (Department of Structural Engineering and Construction Management, Future University in Egypt, New Cairo 11835, Egypt)

Abstract

Knowledge on the influence of risk on project performance is an important part of risk management. Previous studies have concentrated on this area to identify risks in aspects of project performance such as cost and schedule. However, rare reviews have been conducted to fully report on the research on the influence of risk on project performance. For this reason, to identify and analyze such researches in these areas a systematic review was conducted in this paper. More specifically, 54 relevant articles were identified and classified into three groups according to their research contents; the research contents in each article and the research methods were reviewed, and the 13 most frequent research methods were also identified and discussed. It was found that most of the previous researches concentrated on developing tools or approaches to assess the influence of risk on project performance. Additionally, researches focused on risk factors’ identification or risk interdependency modeling were also common, along with researches that investigated the cause of poor project performance, evaluated risk impact on cost contingency, discussed the risk response actions, and discussed what enables high-risk projects to yield a high return. However, four gaps were identified from these researches, namely: a need for improving the accuracy in quantitative research of the influence of risk on project performance; a need for novel research methodologies for conducting more accurate risk influence assessments; taking into consideration project participants’ decision-making in their researches; and creating a framework that treats the risk influence assessment as a whole system. Besides that, since this research only focused on two project objectives (cost and schedule), recommendations for future research include expanding the focus to more project objectives.

Suggested Citation

  • Guiliang Su & Rana Khallaf, 2022. "Research on the Influence of Risk on Construction Project Performance: A Systematic Review," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6412-:d:822867
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    References listed on IDEAS

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    1. Ruqaya Al-Sabah & Carol C. Menassa & Awad Hanna, 2014. "Evaluating impact of construction risks in the Arabian Gulf Region from perspective of multinational architecture, engineering and construction firms," Construction Management and Economics, Taylor & Francis Journals, vol. 32(4), pages 382-402, April.
    2. Ahsan Nawaz & Ahsan Waqar & Syyed Adnan Raheel Shah & Muhammad Sajid & Muhammad Irslan Khalid, 2019. "An Innovative Framework for Risk Management in Construction Projects in Developing Countries: Evidence from Pakistan," Risks, MDPI, vol. 7(1), pages 1-10, February.
    3. Hamidreza Khalesi & Amirhossein Balali & Alireza Valipour & Jurgita Antucheviciene & Darius Migilinskas & Viaceslav Zigmund, 2020. "Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
    4. Seyed Mohammad Seyedhoseini & Siamak Noori & Mohammad Ali Hatefi, 2009. "An Integrated Methodology for Assessment and Selection of the Project Risk Response Actions," Risk Analysis, John Wiley & Sons, vol. 29(5), pages 752-763, May.
    5. I Putu Artama Wiguna & Stephen Scott, 2006. "Relating risk to project performance in Indonesian building contracts," Construction Management and Economics, Taylor & Francis Journals, vol. 24(11), pages 1125-1135.
    6. Tasci, Asli D.A. & Wei, Wei & Milman, Ady, 2020. "Uses and misuses of the case study method," Annals of Tourism Research, Elsevier, vol. 82(C).
    7. Jin Woo Won & Wooyong Jung & Seung Heon Han & Sungmin Yun & Bonsang Koo, 2019. "What Enables a High-Risk Project to Yield High Return from a Construction Contractor’s Perspective?," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    8. Rocío Rodríguez-Rivero & Isabel Ortiz-Marcos & Javier Romero & Luis Ballesteros-Sánchez, 2020. "Finding the Links between Risk Management and Project Success: Evidence from International Development Projects in Colombia," Sustainability, MDPI, vol. 12(21), pages 1-19, November.
    9. Henry A. Odeyinka & John Lowe & Ammar P. Kaka, 2013. "Artificial neural network cost flow risk assessment model," Construction Management and Economics, Taylor & Francis Journals, vol. 31(5), pages 423-439, May.
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